Data Science and Scientific Computing
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The Master degree in Data Science and Scientific Computing (DSSC) aims to train professionals of the future: experts that are highly requested because of the digitalization of the society and the evolution to industry 4.0.DSSC is an international course, taught in English, and it is offered by the Universities of Trieste and Udine, with the collaboration of SISSA (International School for Advanced Studies), ICTP (International Centre for Theoretical Physics), and of many other research institutions and companies of the area.The Master degree in Data Science and Scientific Computing (DSSC) is structured into 2 curricula. Each curriculum is further organized in several study plans, each corresponding to a specific application area, proposing a choice of specialization courses. The first semester of first year is devoted to core courses common to both curricula. The second semester of first year is focussed on core courses specific to each curriculum. In the second year, instead, the student can choose specialization courses on an application area of interest, depending on the selected study plan. During the second year, students will also have to complete their preparation with seminar courses, they can do an intership in a company or in a research lab, and they will have to write their master thesis.-Curriculum Artificial Intelligence and Machine LearningThe Artificial Intelligence and Machine Learning curriculum is devoted to train expert in modern Artificial Intelligence techniques, in particular Machine Learning techniques. You will learn skills in statistics, modelling, machine learning, high performance computing and management of databases for big data. -Curriculum Data Science and Applications You will be trained to become a professional in the fields of data management and data analysis, with a particular focus on Big Data. In this curriculum you will follow courses on machine learning, statistical methods and data management. You can further specialize in one of the several application areas: healthcare, foundations of data science, data engineering, social sciences, genomics and biotechnology.-Curriculum Computational Science and EngineeringIt will train future experts in Computational Science and Engineering. Here the focus is more on computational modelling, optimization, scientific programming, and simulation. Also in this case the application areas of specialization are numerous: fluid dynamics for engineering and earth sciences, computational physics, computational chemistry, computational cosmology, control and simulation-based design.
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Trieste
Friuli-Venezia Giulia
34127
Italy
- 2 years
- Full Time
- On Campus Learning
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